Causal attribution in an era of big time-series data

by KAY BRODERSENFor the first time in the history of statistics, recent innovations in big data might allow us to estimate fine-grained causal effects, automatically and at scale. But the analytical challenges are substantial.Every idea at Google begins with a simple question. How can we predict the benefits the idea’s realization would create for users, publishers, developers, or advertisers? How…
Original post: Causal attribution in an era of big time-series data
Source: Unofficial Google Data Science